One post tagged with "multimodal"

Adding vision to an LLM application looks deceptively simple. You swap a text model for a multimodal one, pass in an image alongside your prompt, and the demo works brilliantly. Then you push to production and discover that half your invoices get the total wrong, tables in PDFs lose their structure, and low-quality scans produce confident hallucinations. The debugging is harder than anything you faced with text-only systems, because the failures are visual and the LLM will not tell you it cannot see clearly.

This post covers what actually goes wrong when you move multimodal LLM inputs from prototype to production, and the architectural decisions that prevent those failures.